The Red Hat Ecosystem Catalog is the official source for discovering and learning more about the Red Hat Ecosystem of both Red Hat and certified third-party products and services.
We’re the world’s leading provider of enterprise open source solutions—including Linux, cloud, container, and Kubernetes. We deliver hardened solutions that make it easier for enterprises to work across platforms and environments, from the core datacenter to the network edge.
Autonomous AI agents that transform telecom network operations into self-healing, predictive systems running on Red Hat OpenShift and Red Hat AI.
NIx Agents delivers customised agentic AI solutions that transform network operations into autonomous, self-healing systems — running on Red Hat OpenShift and powered by Red Hat AI. Specialised co-pilots operate 24/7 across all network domains (RAN, core, transmission, virtualised workloads) to detect issues, perform root cause analysis and implement fixes before they impact customers. Core capabilities include autonomous agent architecture, natural language processing, self-healing operations with human oversight, predictive analytics, continuous learning and cross-domain intelligence. Built on the NIx Platform, NIx Agents continuously improves autonomous decision-making across 2G to 5G networks.
Core Agents deliver backbone stability, service continuity and automated optimisation across cloud-native core network functions. Running on Red Hat OpenShift, they provide always-on autonomous monitoring that prevents outages before they cascade into customer-impacting events.
RAN Agents provide instant insights, proactive prevention and unified operations across 2G to 5G radio networks. Natural language interaction, self-healing operations and critical KPI optimisation for accessibility, mobility, integrity and retainability metrics — with real-time automated responses and a strategic focus for engineering teams.
Support Agents drive measurable outcomes: 40–60% cost reduction, hours-to-minutes MTTR, enhanced first contact resolution rates and automated issue resolution. By autonomously detecting and resolving service degradation, NIx Agents shifts support operations from reactive to predictive.
Red Hat certified products are tested to meet Red Hat’s criteria and supported as defined in the Red Hat Collaborative Support Process.
Partner validated products are tested by Red Hat Partners and supported as defined in the Red Hat Third Party Component Policy.
NIx Agents runs on Red Hat OpenShift Container Platform (version 4.10 or later) and leverages Red Hat AI for ML inference and model serving. OpenShift provides the containerised runtime and orchestration layer, while Red Hat AI powers the anomaly detection, predictive analytics and continuous learning capabilities. No other Red Hat products are strictly required, though OpenShift AI is recommended for teams wanting to manage and retrain models directly.
NIx Agents supports all major telecom vendors including Ericsson, Nokia, Huawei, ZTE, Cisco and Samsung across all network domains — RAN (2G to 5G), voice core (HLR, HSS, PCRF, MGW), data core (EPC/4G and 5G core), transmission networks and virtualised/cloud-native workloads. New vendor integrations can be added through NIx Ingestor's extensible connector framework.
NIx Agents typically operates in shadow mode for 2–4 weeks after initial deployment, during which it learns your network's baseline behaviour and generates recommendations without taking action. Once validated by your operations team and thresholds are tuned, autonomous action mode can be enabled per domain. Most customers see measurable MTTR improvements within the first 30 days of full operation.
Based on deployed customer outcomes, NIx Agents delivers 40–60% reduction in operational costs, reduction in MTTR from hours to minutes, enhanced first contact resolution rates and significant reduction in manual ticket handling through automated resolution. The continuous learning architecture means performance improves over time as the agents accumulate more network pattern data.